21 parallel-programming "U.S" "Computer Vision Center" Postdoctoral positions at Purdue University
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Associate Positions AI-Driven Software & Systems Research The newly established Intelligent Software & Systems Center (ISC) in the College of Engineering at Purdue University invites applications for a
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infrastructure for detector development. The group operates a center of excellence for composite manufacturing and simulation for detector mechanics and cooling, as well as in-house facilities for the
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. Actively contribute to the continued growth of the Purdue Korean Program and the Purdue Interdisciplinary Center for Korean Studies (PICKS) through academic programming, outreach, recruitment, and
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scientists, informaticians, and data scientists Core Qualifications 1. Ph.D. or equivalent degree in a related field, such as bioinformatics, biomedical informatics, computer science, computational
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, including clinicians, biomedical scientists, informaticians, and data scientists Education Ph.D. or equivalent degree in a related field, such as bioinformatics, biomedical informatics, computer science
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related field, such as computer science, artificial intelligence, biomedical informatics, health data science, computational biology, biomedical engineering, biostatistics, or a related discipline 2
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invites applications for a Research Development Postdoctoral Fellow position focused on large-scale interdisciplinary center grant initiatives and strategic research development activities. The
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programming, robust optimization, or simulation; statistical data analysis and quantitative modeling; Python and modern scientific/data-analysis workflows; Proven record of experience in analysis of
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Programming behavioral and neuroimaging experiments using MATLAB/Psychtoolbox Multivariate, longitudinal, or multimodal statistical analyses Interested applicants should send a cover letter to Dr. Andy Kim, [email protected] . Apply now Posting Start Date: 8/19/26
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available in the Computer Science department at Purdue University. The research focuses on developing algorithms for the analysis of time series data using quantum machine learning models, and